Triple
T23202278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMS |
E580348
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | KMS |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KMS | Statement: [KMS, hasAbbreviation, KMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMS Context triple: [KMS, hasAbbreviation, KMS]
-
A.
KMS
chosen
KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
-
B.
KMS
KMS is the abbreviated name for Kiel Marine Science, an interdisciplinary marine research center based at Kiel University in Germany.
-
C.
KMSKB
KMSKB is the commonly used abbreviation for the Royal Museums of Fine Arts of Belgium, a major art museum complex in Brussels renowned for its extensive collection of Belgian and European art.
-
D.
KMSKA
KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
-
E.
KMSP
KMSP is the ICAO airport code for Minneapolis–Saint Paul International Airport, a major air transportation hub serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907a8bb48190846802a24d33bccf |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.